{"id":"W4252454430","doi":"10.1088/1757-899x/1102/1/011001","title":"Preface","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Prosperity; China; Library science; Political science; Media studies; Engineering; Sociology; Medicine; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00160904,0.001172421,0.0008228386,0.002363087,0.003204909,0.004716086,0.001670056,0.00169688,0.5283334],"category_scores_gemma":[0.01107133,0.0003583304,0.0006435731,0.001831179,0.0008662315,0.003651426,0.002707374,0.00341622,0.3695538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002264599,"about_ca_system_score_gemma":0.002990559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003342259,"about_ca_topic_score_gemma":0.003638413,"domain_scores_codex":[0.998602,0.0002107301,0.0001042779,0.0002908583,0.0006387965,0.0001533524],"domain_scores_gemma":[0.9949453,0.0007541489,0.0002060252,0.000465874,0.002833709,0.0007948588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003595961,0.00001959824,0.0001258488,0.0001176481,0.00000215762,0.00007272151,0.0001614976,0.00005132999,0.0001365818,0.004822324,0.9604387,0.03401555],"study_design_scores_gemma":[0.000003107552,0.00001320777,0.0002076348,0.00008252094,0.000001048565,0.00007184506,0.0001334286,0.00001982386,0.00005581224,0.001330518,0.9980772,0.000003922197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002248644,0.008380183,0.00649108,0.029077,0.125695,0.0007529961,0.01343506,0.002007632,0.8119124],"genre_scores_gemma":[0.009352192,0.004988899,0.002851367,0.007788586,0.01637864,0.0004166956,0.01202961,0.001045469,0.9451485],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4716666,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0093984495175023,"score_gpt":0.1840239377429659,"score_spread":0.1746254882254636,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}